Abstract
This chapter outlines spatial health systems and discusses issues regarding their technical implementation and employment. This concerns in particular diseases which manifest themselves in the spatiotemporal behaviours of patients, showing patterns that enable conclusions about their underlying well-being. While a general overview is given, as an example the case of patients suffering from Alzheimer’s disease is examined more carefully in order to treat different aspects detailed enough. Especially, wearable and ambient technologies, activity recognition techniques as well as ethical aspects are discussed. The given literature review ranges from basic methods of Artificial Intelligence research to commercial products which are already available from the industry.
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References
Abraham Louis Perrelet. http://en.wikipedia.org/wiki/Abraham-Louis_Perrelet. Accessed 14 Jan 2014
Animazoo motion capture. http://www.animazoo.com/products/igs-180-range. Accessed 15 Dec 2013
Basque country reaches out to the elderly. http://www.cnbc.com/id/101198944. Accessed 15 Dec 2013
Chronious. http://www.chronious.eu. Accessed 29 Dec 2013
Fitbit. http://www.fitbit.com/. Accessed 15 Dec 2013
Kinect. http://www.microsoft.com/en-us/kinectforwindows/develop/. Accessed 15 Dec 2013
Misfit wearables. http://www.misfitwearables.com/. Accessed 15 Dec 2013
Nike fuelband. http://www.nike.com/us/en_us/c/nikeplus-fuelband. Accessed 15 Dec 2013
Openstage. http://www.organicmotion.com/products/openstage. Accessed 15 Dec 2013
Vicon — markers and suits. http://www.vicon.com/System/Markers. Accessed 15 Dec 2013
Augusto, J., Nugent, C.: The use of temporal reasoning and management of complex events in smart homes. In: Proceedings of the ECAI 2004, Valencia, Spain, pp. 778–782 (2004)
Augusto, J.C., Huch, M., Kameas, A., Maitland, J., McCullagh, P., Roberts, J., Sixsmith, A., Wichert, R.: Handbook on Ambient Assisted Living - Technology for Healthcare Rehabilitation and Well-Being. The AISE Book Series, vol. 11. IOS Press, Amsterdam (2012)
Augusto, J.C., Nakashima, H., Aghajan, H.: Ambient intelligence and smart environments: a state of the art. In: Nakashima, H., Aghajan, H., Augusto, J.C. (eds.) Handbook of Ambient Intelligence and Smart Environments, pp. 3–31. Springer, New York (2010)
Aztiria, A., Augusto, J., Izaguirre, A., Cook, D.: Learning accurate temporal relations from user actions in intelligent environments. In: Proceedings of the 3rd Symposium of Ubiquitous Computing and Ambient Intelligence, Salamanca, Spain, pp. 274–283 (2008)
Ballemans, J., Kempen, G.I., Zijlstra, G.R.: Orientation and mobility training for partially-sighted older adults using an identification cane: a systematic review. Clin. Rehabil. 25, 880–891 (2011)
Bengalur, M.D.: Human activity recognition using body pose features and support vector machine. In: 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1970–1975 (2013)
Bohlken, W., Neumann, B., Hotz, L., Koopmann, P.: Ontology-based realtime activity monitoring using beam search. In: Crowley, J.L., Draper, B.A., Thonnat, M. (eds.) ICVS 2011. LNCS, vol. 6962, pp. 112–121. Springer, Heidelberg (2011)
Callejas Cuervo, M., Olaya, A., Salamanca, R.: Biomechanical motion capture methods focused on tele-physiotherapy. In: Health Care Exchanges (PAHCE), 2013 Pan American, pp. 1–6 (2013)
Camicioli, R., Howieson, D., Oken, B., Sexton, G., Kaye, J.: Motor slowing precedes cognitive impairment in the oldest old. Neurology 50(5), 1496–1498 (1998)
Chakraborty, B., Bagdanov, A.D., Gonzàlez, J., Roca, F.X.: Human action recognition using an ensemble of body-part detectors. Expert Syst. 30(2), 101–114 (2013)
Chua, S.-L., Marsland, S., Guesgen, H.: Unsupervised learning of patterns in data streams using compression and edit distance. In: Proceedings of IJCAI, Barcelona, Spain, pp. 1231–1236 (2011)
Cook, D.: Learning setting-generalized activity models for smart spaces. IEEE Intell. Syst. 27(1), 32–38 (2012)
Crews, J.E., Campbell, V.A.: Vision impairment and hearing loss among community-dwelling older Americans: implications for health and functioning. Am. J. Public Health 94(5), 823–829 (2004)
Cummings, J.L.: The neuropsychiatric inventory: assessing psychopathology in dementia patients. Neurology 48(Suppl 6), S10–S16 (1997)
David, R., Rivet, A., Robert, P.H., Mailland, V., Friedman, L., Zeitzer, J.M., Yesavage, J.: Ambulatory actigraphy correlates with apathy in mild Alzheimer’s disease. Dementia 9(4), 509–516 (2010)
DeCarli, C.: Mild cognitive impairment: prevalence, prognosis, aetiology, and treatment. Lancet Neurol. 2, 15–21 (2003)
Dempster, A.: Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Stat. 38(2), 325–339 (1967)
Doukas, C., Maglogiannis, I.: Emergency fall incidents detection in assisted living environments utilizing motion, sound, and visual perceptual components. IEEE Trans. Inf. Technol. Biomed. 15(2), 277–289 (2011)
Downs, S.H., Black, N.: The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J. Epidemiol. Commun. Health 52, 377–384 (1998)
Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications. Academic Press, London (1980)
Duong, T., Bui, H., Phung, D., Venkatesh, S.: Activity recognition and abnormality detection with the switching hidden semi-Markov model. In: Proceedings of CVPR 2005, San Diego, California, pp. 838–845 (2005)
Fernandez-Martinez, M., Molano, A., Castro, J., Zarranz, J.J.: Prevalence of neuropsychiatric symptoms in mild cognitive impairment and Alzheimer’s disease, and its relationship with cognitive impairment. Curr. Alzheimer Res. 7(6), 517–526 (2010)
Folstein, M.F., Folstein, S.E., McHugh, P.R.: Mini-mental-state: a practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12, 189–198 (1975)
Foxlin, E.: Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput. Graph 25(6), 38–46 (2005)
Friedman, J.H.: Regularized discriminant analysis. J. Am. Statist. Assoc. 84(405), 165–175 (1989)
Giuberti, M., Ferrari, G., Contin, L., Cimolin, V., Cau, N., Galli, M., Azzaro, C., Albani, G., Mauro, A.: On the characterization of Leg Agility in patients with Parkinson’s Disease. In: 2013 IEEE International Conference on Body Sensor Networks, pp. 1–6, May 2013
Gopalratnam, K., Cook, D.: Active LeZi: an incremental parsing algorithm for sequential prediction. Int. J. Artif. Intell. Tools 14(1–2), 917–930 (2004)
Gottfried, B.: Spatial health systems. In: Bardram, J.E., Chachques, J.C., Varshney, U. (eds.) 1st International Conference on Pervasive Computing Technologies for Healthcare (PCTH 2006), November 29–December 1, Innsbruck, Austria, pp. 7. IEEE Press (2006)
Gottfried, B.: Modelling spatiotemporal developments in spatial health systems. In: Olla, P., Tan, J. (eds.) Mobile Health Solutions for Biomedical Applications. IGI Global (Idea Group Publishing), April 2009
Gottfried, B.: Locomotion activities in smart environments. In: Nakashima, H., Aghajan, H.K., Augusto, J.C. (eds.) Handbook of Ambient Intelligence and Smart Environments, pp. 89–115. Springer, Heidelberg (2010)
Gottfried, B.: Interpreting motion events of pairs of moving objects. GeoInformatica 15(2), 247–271 (2011)
Gottfried, B., Aghajan, H.: Behaviour Monitoring and Interpretation - Smart Environments. IOS Press, Amsterdam (2009)
Gottfried, B., W. Guesgen, H., Hübner, S.: Spatiotemporal reasoning for smart homes. In: Augusto, J.C., Nugent, C.D. (eds.) Designing Smart Homes. LNCS (LNAI), vol. 4008, pp. 16–34. Springer, Heidelberg (2006)
Guesgen, H., Marsland, S.: Spatio-temporal reasoning and context awareness. In: Nakashima, H., Aghajan, H., Augusto, J. (eds.) Handbook of Ambient Intelligence and Smart Environments, pp. 609–634. Springer, New York (2010)
Hausdorff, J.M., Rios, D.A., Edelberg, H.K.: Gait variability and fall risk in community-living older adults: a 1-year prospective study. Arch. Phys. Med. Rehabil. 82(8), 1050–1056 (2001)
Hoey, J., Plötz, T., Jackson, D., Monk, A., Pham, C., Olivier, P.: Rapid specification and automated generation of prompting systems to assist people with dementia. Pervasive Mob. Comput. 7(3), 299–318 (2011)
Hoey, J., Poupart, P., Bertoldi, A.V., Craig, T., Boutilier, C., Mihailidis, A.: Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process. Comput. Vision Image Underst. 114(5), 503–519 (2010)
Hoey, J., Yang, X., Quintana, E., Favela, J.: LaCasa: location and context-aware safety assistant. In: 6th International Conference Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 171–174 (2012)
Holzinger, A., Scherer, R., Seeber, M., Wagner, J., Müller-Putz, G.: Computational sensemaking on examples of knowledge discovery from neuroscience data: towards enhancing stroke rehabilitation. In: Böhm, C., Khuri, S., Lhotská, L., Renda, M.E. (eds.) ITBAM 2012. LNCS, vol. 7451, pp. 166–168. Springer, Heidelberg (2012)
Holzinger, A., Schwaberger, K., Weitlaner, M.: Ubiquitous computing for hospital applications: Rfid-applications to enable research in real-life environments. In: 29th Annual International Computer Software and Applications Conference (COMPSAC 2005), 25–28 July 2005, Edinburgh, Scotland, UK, pp. 19–20. IEEE Computer Society (2005)
Ito, T.: Walking motion analysis using 3D acceleration sensors. In: 2008 Second UKSIM European Symposium on Computer Modeling and Simulation, EMS 2008, pp. 123–128 (2008)
Jakkula, V., Cook, D.: Anomaly detection using temporal data mining in a smart home environment. Methods Inf. Med. 47(1), 70–75 (2008)
Jakkula, V.R., Cook, D.J.: Detecting anomalous sensor events in smart home data for enhancing the living experience. In: Artificial Intelligence and Smarter Living, volume WS-11-07 of AAAI Workshops. AAAI (2011)
Jung, P.-G., Lim, G., Kong, K.: A mobile motion capture system based on inertial sensors and smart shoes. In: 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 692–697 (2013)
Kammoun, S., Macé, M.J.-M., Oriola, B., Jouffrais, C.: Towards a geographic information system facilitating navigation of visually impaired users. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds.) ICCHP 2012, Part II. LNCS, vol. 7383, pp. 521–528. Springer, Heidelberg (2012)
Kearns, W., Algase, D., Moore, D., Ahmed, S.: Ultra wideband radio: a novel method for measuring wandering in persons with dementia. Gerontechnology 7(1), 48–57 (2008)
Kirste, T., Hoffmeyer, A., Koldrack, P., Bauer, A., Schubert, S., Schröder, S., Teipel, S.: Detecting the effect of Alzheimer’s disease on everyday motion behavior. J. Alzheimer’s Dis. 38(1), 121–132 (2014)
Kleinberger, T., Becker, M., Ras, E., Holzinger, A., Müller, P.: Ambient intelligence in assisted living: enable elderly people to handle future interfaces. In: Stephanidis, C. (ed.) UAHCI 2007 (Part II). LNCS, vol. 4555, pp. 103–112. Springer, Heidelberg (2007)
Klir, G., Folger, T.: Fuzzy Sets, Uncertainty, and Information. Prentice Hall, Englewood Cliffs (1988)
Koss, E., Weiner, M., Ernesto, C., Cohen-Mansfield, J., Ferris, S.H., Grundman, M., Schafer, K., Sano, M., Thal, L.J., Thomas, R., Whitehouse, P.J.: Assessing patterns of agitation in Alzheimer’s disease patients with the Cohen-Mansfield Agitation Inventory. The Alzheimer’s disease cooperative study. Alzheimer Dis. Assoc. Disord. 11(Suppl 2), S45–50 (1997)
Kuhlmei, A., Walther, B., Becker, T., Müller, U., Nikolaus, T.: Actigraphic daytime activity is reduced in patients with cognitive impairment and apathy. Eur. Psychiatry 28(2), 806–814 (2011)
Landau, R., Auslander, G.K., Werner, S., Shoval, N., Heinik, J.: Who should make the decision on the use of GPS for people with dementia? Aging Ment. Health 15, 78–84 (2011)
Landau, R., Werner, S.: Ethical aspects of using GPS for tracking people with dementia: recommendations for practice. Int. Psychogeriatr. 24, 358–366 (2012)
Landau, R., Werner, S., Auslander, G., Shoval, N., Heinik, J.: Attitudes of family and professional care-givers towards the use of GPS for tracking patients with dementia: an exploratory study. Br. J. Soc. Work 39(4), 670–692 (2009)
Levy, E., Kalis, M., Vo, M., Lindisch, D., Cleary, K.: Feasibility of simultaneous respiratory function monitoring and determination of respiratory-related intrahepatic vessel excursion using the lifeshirt system. In: Lemke, H.U., Inamura, K., Doi, K., Vannier, M.W., Farman, A.G., Reiber, J.H.C. (eds.) Proceedings of the 18th International Congress and Exhibition Computer Assisted Radiology and Surgery, Chicago, USA, June 23–26, vol. 1268, International Congress Series, pp. 764–769. Elsevier (2004)
Li, L., Zhang, H., Jia, W., Nie, J., Zhang, W., Sun, M.: Automatic video analysis and motion estimation for physical activity classification. In: Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast, pp. 1–2 (2010)
Li, Q., Chen, S., Stankovic, J.A.: Multi-modal in-person interaction monitoring using smartphone and on-body sensors. In: 2013 IEEE International Conference on Body Sensor Networks, pp. 1–6, May 2013
Lo, G., Suresh, A., Stocco, L., Gonzalez-Valenzuela, S., Leung, V.C.M.: A wireless sensor system for motion analysis of parkinson’s disease patients. In: 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 372–375 (2011)
Long, R.G., Boyette, L.W., Griffin-Shirley, N.: Older persons and community travel: the effect of visual impairment. J. Visual Impairment Blindness 90(4), 302–313 (1996)
Maki, B.E.: Gait changes in older adults: predictors of falls or indicators of fear. J. Am. Geriatr. Soc. 45(3), 313–320 (1997)
McKeever, S., Ye, J., Coyle, L., Bleakley, C., Dobson, S.: Activity recognition using temporal evidence theory. J. Ambient Intell. Smart Environ. 2(3), 253–269 (2010)
Miskelly, F.: A novel system of electronic tagging in patients with dementia and wandering. Age Ageing 33, 304–306 (2004)
Nagels, G., Engelborghsand, S., Vloeberghs, E., Van Dam, D., Pickut, B.A., De Deyn, P.P.: Actigraphic measurement of agitated behaviour in dementia. Int. J. Geriatr. Psychiatry. 21(4), 388–393 (2006)
Nguyen, H., Kreinovich, V., Tolbert, D.: On robustness of fuzzy logics. In: Proceedings of the 2nd IEEE International Conference on Fuzzy Systems, San Francisco, California, pp. 543–547 (1993)
Nissenbaum, H.: Privacy as contextual integrity. Wash. Law Rev. 79(1), 119–158 (2004)
Olsson, A., Engstrm, M., Skovdahl, K., Lampic, C.: My, your and our needs for safety and security: relatives’ reflections on using information and communication tech-nology in dementia care. Scand. J. Caring Sci. 26, 104–112 (2012)
Oswald, F., Wahl, H.-W., Voss, E., Schilling, O., Freytag, T., Auslander, G., Shoval, N., Heinik, J., Landau, R.: The use of tracking technologies for the analysis of outdoor mobility in the face of dementia: first steps into a project and some illustrative findings from Germany. J. Hous. Elderly 24, 55–73 (2010)
Paradiso, R., Loriga, G., Taccini, N.A.: A wearable health care system based on knitted integrated sensors. IEEE Trans. Inf. Technol. Biomed. 9, 337–344 (2005)
Patterson, D.J., Liao, L., Gajos, K., Collier, M., Livic, N., Olson, K., Wang, S., Fox, D., Kautz, H.: Opportunity knocks: a system to provide cognitive assistance with transportation services. In: Mynatt, E.D., Siio, I. (eds.) UbiComp 2004. LNCS, vol. 3205, pp. 433–450. Springer, Heidelberg (2004)
Plaza, I., Martín, L., Martin, S., Medrano, C.: Mobile applications in an aging so-ciety: status and trends. J. Syst. Softw. 84, 1977–1988 (2011)
Pogorelc, B., Gams, M.: Diagnosing health problems from gait patterns of elderly. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2238–2241 (2010)
Pogorelc, B., Gams, M.: Medically driven data mining application: recognition of health problems from gait patterns of elderly. In: 2010 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 976–980 (2010)
Rashidi, P., Cook, D.J.: Mining and monitoring patterns of daily routines for assisted living in real world settings. In: Proceedings of the 1st ACM International Health Informatics Symposium, IHI 2010, pp. 336–345. ACM, New York (2010)
Rashidi, P., Cook, D.J., Holder, L.B., Schmitter-Edgecombe, M.: Discovering activities to recognize and track in a smart environment. IEEE Trans. Knowl. Data Eng. 23(4), 527–539 (2011)
Renso, C., Baglioni, M., de Macêdo, J.A.F., Trasarti, R., Wachowicz, M.: How you move reveals who you are: understanding human behavior by analyzing trajectory data. Knowl. Inf. Syst. 37(2), 331–362 (2013)
Rivera-Illingworth, F., Callaghan, V., Hagras, H.: Detection of normal and novel behaviours in ubiquitous domestic environments. Comput. J. 53(2), 142–151 (2010)
Roley, S.S., DeLany, J.V., Barrows, C.J., Brownrigg, S., Honaker, D., Sava, D.I., Talley, V., Voelkerding, K., Amini, D.A., Smith, E., Toto, P., King, S., Lieberman, D., Baum, M.C., Cohen, E.S., Cleveland, P.A., Youngstrom, M.J.: Occupational therapy practice framework: domain & practice. Am. J. Occup. Ther. 62(6), 625–683 (2008). (2nd edn)
Rosso, A.L., Auchincloss, A.H., Michael, Y.L.: The urban built environment and mobility in older adults: a comprehensive review. J. Aging Res. 2011, 10 (2011)
Roy, A., Soni, Y., Dubey, S.: Enhancing effectiveness of motor rehabilitation using kinect motion sensing technology. In: 2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite (GHTC-SAS), pp. 298–304 (2013)
Runge, M., Hunter, G.: Determinants of musculoskeletal frailty and the risk of falls in old age. J. Musculoskelet. Neuronal Interact. 6(2), 167–173 (2006)
Salarian, A., Russmann, H., Vingerhoets, F.J.G., Dehollaini, C., Blanc, Y., Burkhard, P., Aminian, K.: Gait assessment in parkinson’s disease: toward an ambulatory system for long-term monitoring. IEEE Trans. Biomed. Eng. 51(8), 1434–1443 (2004)
Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)
Shoval, N., Auslander, G., Cohen-Shalom, K., Isaacson, M., Landau, R., Heinik, J.: What can we learn about the mobility of the elderly in the GPS era? J. Transport Geogr. 18, 603–612 (2010)
Stone, E., Skubic, M.: Evaluation of an inexpensive depth camera for in-home gait assessment. J. Ambient Intell. Smart Environ. 3(4), 349–361 (2011)
Sundaresan, A., Chellappa, R.: Markerless motion capture using multiple cameras. Comput. Vision Interact. Intell. Environ. 2005, 15–26 (2005)
Tapia, E.M., Intille, S.S., Larson, K.: Activity recognition in the home using simple and ubiquitous sensors. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 158–175. Springer, Heidelberg (2004)
Tavenard, R., Salah, A., Pauwels, E.: Searching for temporal patterns in ami sensor data. In: Mühlhäuser, M., Ferscha, A., Aitenbichler, E. (eds.) Constructing Ambient Intelligence. Communications in Computer and Information Science, vol. 11, pp. 53–62. Springer, Heidelberg (2007)
Tay, F.E.H., Nyan, M.N., Koh, T.H., Seah, K.H.W., Sitoh, Y.Y.: Smart shirt that can call for help after a fall. Int. J. Softw. Eng. Knowl. Eng. 15(2), 183–188 (2005)
Teri, L., Larson, E.B., Reifler, B.V.: Behavioral disturbance in dementia of the Alzheimer’s type. J. Am. Geriatr. Soc. 36(1), 1–6 (1988)
Thome, J., Coogan, A.N., Woods, A.G., Darie, C.C., Hassler, F.: CLOCK genes and circadian rhythmicity in Alzheimer disease. J. Aging Res. Article ID 383091, 4 (2011)
Vahdatpour, A., Amini, N., Sarrafzadeh, M.: On-body device localization for health and medical monitoring applications. In: 2011 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 37–44 (2011)
van den Noort, J.C., Scholtes, V.A., Becher, J.G., Harlaar, J.: Evaluation of the catch in spasticity assessment in children with cerebral palsy. Arch. Phys. Med. Rehabil. 91(4), 615–623 (2010)
van den Noort, J.C., Scholtes, V.A., Harlaar, J.: Evaluation of clinical spasticity assessment in cerebral palsy using inertial sensors. Gait Posture 30(2), 138–143 (2009)
van Someren, E.J.W., Lazeron, R.H.C., Vonk, B.F.M., Mirmiran, M., Swaab, D.F.: Gravitational artifact in frequency spectra of movement acceleration: implications for actigraphy in young and elderly subjects. J. Neurosci. Methods 65, 55–62 (1996)
Wallhagen, M.I., Strawbridge, W.J., Shema, S.J., Kurata, J., Kaplan, G.A.: Comparative impact of hearing and vision impairment on subsequent functioning. J. Am. Geriatr. Soc. 49, 1086–1092 (2001)
Wan, C., Yuan, B., Wang, L. Miao, Z.: Model-based markerless human body motion capture using active contour. In: 2008 9th International Conference on Signal Processing, ICSP 2008, pp. 1342–1345 (2008)
Weber, J.L., Blanc, D., Dittmar, A., Comet, B., Corroy, C., Noury, N., Baghai, R., Vaysse, S., Blinowska, A.: VTAM - a new “biocloth” for ambulatory telemonitoring. In: 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, pp. 299–301 (2003)
Weiner, M.F., Koss, E., Patterson, M., Jin, S., Teri, L., Thomas, R., Thal, L.J., Whitehouse, P.: A comparison of the Cohen-Mansfield agitation inventory with the CERAD behavioral rating scale for dementia in community-dwelling persons with Alzheimer’s disease. J. Psychiatr. Res. 32, 347–351 (1998)
Weippl, E., Holzinger, A., Tjoa, A.M.: Security aspects of ubiquitous computing in health care. e & i. Elektrotechnik und Informationstechnik 123(4), 156–161 (2006)
Wimo, A., Winblad, B., Aguero-Torres, H., von Strauss, E.: The magnitude of dementia occurrence in the world. Alzheimer Dis. Assoc. Disord. 17, 63–67 (2010)
Wong, C., Zhang, Z., McKeague, S., Yang, G.-Z.: Multi-person vision-based head detector for markerless human motion capture. In: 2013 IEEE International Conference on Body Sensor Networks (BSN), pp. 1–6 (2013)
Wu, H.-Y., Rubinstein, M., Shih, E., Guttag, J., Durand, F., Freeman, W.: Eulerian video magnification for revealing subtle changes in the world. ACM Trans. Graph. 31(4), 65:1–65:8 (2012)
Wu, Y.-H., Fischer, D.F., Kalsbeek, A., Garidou-Boof, M.-L., van der Vliet, J., van Heijningen, C., Liu, R.-Y., Zhou, J.-N., Swaab, D.F.: Pineal clock gene oscillation is disturbed in Alzheimer’s disease, due to functional disconnection from the “master clock”. FASEB J. 20(11), 1874–1876 (2006)
Xing, X., Langer, H.: Medical knowledge representation and reasoning in the CHRONIOUS project. In: Behavior Monitoring and Interpretation - Well Being, Workshop on KI-2009, Paderborn (2009)
Ye, Y., Ci, S., Katsaggelos, A., Liu, Y.: A multi-camera motion capture system for remote healthcare monitoring. In: 2013 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6 (2013)
Yesavage, J.A., Noda, A., Hernandez, B., Friedman, L., Cheng, J.J., Tinklenberg, J.R., Hallmayer, J., O’Hara, R., David, R., Robert, P., Landsverk, E., Zeitzer, J.M.: Circadian clock gene polymorphisms and sleep-wake disturbance in Alzheimer disease. Am. J. Geriatr. Psychiatry 19, 635–643 (2011)
Zadeh, L.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)
Zhang, B., Jiang, S., Wei, D., Marschollek, M., Zhang, W.: State of the art in gait analysis using wearable sensors for healthcare applications. In: 2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS), pp. 213–218 (2012)
Zhang, Z., Wong, L., Wu, J.-K.: 3D upper limb motion modeling and estimation using wearable micro-sensors. In: 2010 International Conference on Body Sensor Networks (BSN), pp. 117–123 (2010)
Zhang, Z.-Q., Wong, W.-C., Wu, J.-K.: Ubiquitous human upper-limb motion estimation using wearable sensors. IEEE Trans. Inf. Technol. Biomed. 15(4), 513–521 (2011)
Ziefle, M., Klack, L., Wilkowska, W., Holzinger, A.: Acceptance of telemedical treatments – a medical professional point of view. In: Yamamoto, S. (ed.) HCI 2013, Part II. LNCS, vol. 8017, pp. 325–334. Springer, Heidelberg (2013)
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Gottfried, B. et al. (2015). Spatial Health Systems. In: Holzinger, A., Röcker, C., Ziefle, M. (eds) Smart Health. Lecture Notes in Computer Science(), vol 8700. Springer, Cham. https://doi.org/10.1007/978-3-319-16226-3_3
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